Evidence map›Paper›PMID 42736041›Full record

ArticleNephrology (Carlton, Vic.)2026

Peritoneal Dialysis for End-Stage Kidney Disease due to Mitochondrial Encephalopathy, Lactic Acidosis, and Stroke-Like Episodes (MELAS): A Case Report.

Zi Chan, Ka Lok Chan, Chi Kwan Lam, Wai Ping Law, Wai Lun Will Pak, Yick Hei Wong, Sunny Sze Ho Wong

Abstract readCase Reports
In one paragraph

Article in Nephrology (Carlton, Vic.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Zi ChanDepartment of Medicine, United Christian Hospital, Hong Kong, HKSAR, China.ORCID https://orcid.org/0000-0001-9606-3388
Ka Lok ChanDepartment of Medicine, United Christian Hospital, Hong Kong, HKSAR, China.
Chi Kwan LamDepartment of Medicine, United Christian Hospital, Hong Kong, HKSAR, China.
Wai Ping LawDepartment of Medicine, United Christian Hospital, Hong Kong, HKSAR, China.
Wai Lun Will PakDepartment of Medicine, United Christian Hospital, Hong Kong, HKSAR, China.
Yick Hei WongDepartment of Medicine, United Christian Hospital, Hong Kong, HKSAR, China.ORCID https://orcid.org/0000-0001-5200-6672
Sunny Sze Ho WongDepartment of Medicine, United Christian Hospital, Hong Kong, HKSAR, China.ORCID https://orcid.org/0000-0003-3136-0941

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report a 23-year-old male with kidney failure secondary to childhood Focal Segmental Glomerulosclerosis who presented with sepsis, severe lactic acidosis, and encephalopathy. Following stabilization of the acute condition with Continuous Veno-Venous Hemofiltration, a diagnosis of Mitochondrial Encephalomyopathy, Lactic Acidosis, and Stroke-like episodes (MELAS) was confirmed by muscle biopsy and the identification of the m.3243A>G mutation. This case highlights the diagnostic difficulties of this rare disease and the challenges in selecting a long-term renal replacement therapy. Specifically, the use of lactate-buffered peritoneal dialysis fluids in these patients remains controversial. In our case, the patient demonstrated poor tolerance to intermittent haemodialysis due to MELAS-associated cardiomyopathy. However, despite theoretical concerns regarding lactate load, steady-state serum lactate remained stable on Continuous Ambulatory Peritoneal Dialysis (CAPD), and the patient achieved good functional recovery. We conclude that while acute decompensation requires aggressive management, CAPD is a feasible long-term dialysis modality for patients with kidney failure secondary to MELAS.

Indexed as

Glomerulosclerosis, Focal SegmentalKidney Failure, ChronicMELAS SyndromePeritoneal DialysisPeritoneal Dialysis, Continuous AmbulatoryBiopsyHumansMaleMutationTreatment OutcomeYoung Adultfocal segmental glomerulosclerosiskidney failurelactic acidosisMELASperitoneal dialysis

Identifiers

PMID42736041
PMCPMC13574547

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.